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circular convolution of signals

matlab插值与拟合的程序及讲义。对于数值计算的学习有帮助。(matlab interpolation and fitting procedures and handouts. Numerical study for the help.)

模拟人物动态行走程序，可设定性别，速度等参数(Sims dynamic walking program)

手指静脉 ROI 感兴趣特征区域 提取 matlab实现(Finger vein ROI feature regions of interest extraction matlab achieve)

因此假设了一种机动目标模型：初始匀速直线阶段、匀速圆周运动阶段、返回匀速直线阶段，在此过程中线速度大小?v?保持不变。利用扩展卡尔曼（extended kalman filter, EKF）滤波算法进行定位跟踪，仿真结果表明，该假设模型既符合机动实际，又便于数学处理，并且滤波算法过程稳定，具有较快的收敛速度和较高的定位精度，提高了机动目标跟踪的精度和系统的实时性。(This paper proposes a maneuver target model: the initial phase of the uniform linear, uniform circular motion stage, returning to uniform linear stage, and the size of the line speed v remaining unchanged in this process. The extended Kalman filter (EKF) was used to track position, and simulation results show that the model is in line with the actual motor and easy to deal with the mathematics. The algorithm is stable and has rapid convergence rate and high positioning accuracy to improve the accuracy of the mobile target tracking and real?time system.)

二阶系统的最小二乘一次完成算法辨识程序；主要根据实验室对数据处理的程序改的(A complete second-order system least squares algorithm for identification procedures mainly based on laboratory data processing procedures reform)

Jacobi迭代法和Gauss-Seidel迭代法求解线性方程组，matlab语言编程。(Jacobi iteration method and Gauss-Seidel iteration method for solving linear equations, using the Matlab programming language.)

基于云模型的花片特征提取算法，该算法通过云模型的逆向正态云发生器，由样本点信息，求解出三类花四个特征参数各自的数字特征：期望、熵、超熵。(Based on Cloud Model Motif feature extraction algorithm, which cloud model of reverse normal cloud generator, the sample point information, solving the three spent four the number of features of their characteristic parameters: expectation, entropy, ultra-entropy.)

MATLAB作业一 分别用for和while循环结构编写程序，求出 。并考虑一种避免循环语句的程序设计算法，比较不同算法的运行时间。(MATLAB operating a program were used for and while loops structure determined. And consider a way to avoid the loop statement programming algorithm, the running time of the different algorithms.)

program to detect detection of vehicle on road using learning of haar features